An efficient streaming algorithm for spectral proper orthogonal decomposition. - Oliver T. Schmidt; Aaron Towne (Comput. Phys. Commun., 2019)

Neural-network learning of SPOD latent dynamics. - Andrea Lario; Romit Maulik; Oliver T. Schmidt; Gianluigi Rozza; Gianmarco Mengaldo (J. Comput. Phys., 2022)

RBF-FD discretization of the Navier-Stokes equations on scattered but staggered nodes. - Tianyi Chu; Oliver T. Schmidt (J. Comput. Phys., 2023)

Gappy spectral proper orthogonal decomposition. - Akhil Nekkanti; Oliver T. Schmidt (J. Comput. Phys., 2023)

Linear model reduction using SPOD modes. - Peter Frame; Cong Lin; Oliver T. Schmidt; Aaron Towne (CoRR, 2024)

Unlocking massively parallel spectral proper orthogonal decompositions in the PySPOD package. - Marcin Rogowski; Brandon C. Y. Yeung; Oliver T. Schmidt; Romit Maulik; Lisandro Dalcín; Matteo Parsani; Gianmarco Mengaldo (Comput. Phys. Commun., 2024)

Mesh-free hydrodynamic stability. - Tianyi Chu; Oliver T. Schmidt (J. Comput. Phys., 2024)

Robust spectral proper orthogonal decomposition. - Antonio Colanera; Oliver T. Schmidt; Matteo Chiatto (Comput. Phys. Commun., 2025)

Data-Driven Forecasting of High-Dimensional Transient and Stationary Processes via Space-Time Projection. - Oliver T. Schmidt (CoRR, 2025)